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How modeling can inform
approaches to maximize impact
across vector
borne diseases
Ellie Sherrard-Smith e.sherrard-smith@imperial.ac.uk
Tom Churcher
Malaria Modelling Group
Imperial College London
FUNDED BY: IVCC
Prevalence in 2 to 10 year
olds (2015)
Prevalence in 2 to 10 yrs:
Standard LLIN coverage
80% coverage pyrethroid IRS
No resistance
Prevalence in 2 to 10 yrs:
Standard LLIN coverage
80% coverage pyrethroid IRS
With 50% pyrethroid resistance
(Malaria Atlas Project prevalence
estimates)
Using a mathematical model published in Griffin et al. (2010) PLoS Med;
Griffin et al. (2014) Nat Comms; Winskill et al. (2017)
2015 2020 2020
1
0.8
0.6
0.4
0.2
0
1
0.8
0.6
0.4
0.2
0
1
0.8
0.6
0.4
0.2
0
50% pyrethroid bioassay mortality
Example: Malaria
New technology: PBO-nets
MosquitomortalityinPBO-netsduring
experimentalhuttrial(%)
Mosquito mortality in non-PBO-nets during
hut trial (%)
Results of all published
experimental hut trials
investigating PBO LLINs
MosquitomortalityforPBO+pyrethroid
duringWHO(orCDC)bioassaytests(%)
Mosquito mortality for pyrethroid during WHO
(or CDC) bioassay tests (%)
Churcher et al. (2016) eLife
red = An. gambiae s.l.
blue = An. funestus
New technology: PBO-nets
Predicted Prevalence in 2 to 10 yrs at current LLIN
and IRS coverage levels (matching 2015 coverage)
with pyrethroid resistance
(50% of mosquitos survive bioassay)
Using standard non-PBO nets
Predicted Prevalence in 2 to 10 yrs at current LLIN
and IRS coverage levels (matching 2015 coverage)
with pyrethroid resistance
(50% of mosquitos survive bioassay)
Implementing PBO-nets
Public health impact is location specific.
Particularly depends on levels of LLIN coverage and
species of mosquitos present
1
0.8
0.6
0.4
0.2
0
2020
Preliminary work
1
0.8
0.6
0.4
0.2
0
2020
Actellic on An. funestus (dashed line)
Actellic on An. gambiae (solid line)
Pyrethroid
Bendiocarb
New technology: Long-lasting IRS
Preliminary work
Impact of switching to a longer-lasting IRS depends on
Seasonality (increased protection with a longer transmission season)
IRS coverage levels (higher coverage gives improved protection)
Prevalence in 2 to 10 yrs: current LLIN
coverage,
80% coverage pyrethroid IRS
with 50% pyrethroid resistance
(50% of mosquitos survive bioassay)
2020
1
0.8
0.6
0.4
0.2
0
2020
1
0.8
0.6
0.4
0.2
0
Prevalence in 2 to 10 yrs: current LLIN
coverage,
80% coverage Actellic IRS
with 50% pyrethroid resistance
(50% of mosquitos survive bioassay)
How modeling can inform
approaches to maximize impact
across vector
borne diseases
Ellie Sherrard-Smith e.sherrard-smith@imperial.ac.uk
Tom Churcher
Malaria Modelling Group
Imperial College London

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Ellie Sherrard Smith-Enfermedades transmitidas por vectores

  • 1. How modeling can inform approaches to maximize impact across vector borne diseases Ellie Sherrard-Smith e.sherrard-smith@imperial.ac.uk Tom Churcher Malaria Modelling Group Imperial College London FUNDED BY: IVCC
  • 2. Prevalence in 2 to 10 year olds (2015) Prevalence in 2 to 10 yrs: Standard LLIN coverage 80% coverage pyrethroid IRS No resistance Prevalence in 2 to 10 yrs: Standard LLIN coverage 80% coverage pyrethroid IRS With 50% pyrethroid resistance (Malaria Atlas Project prevalence estimates) Using a mathematical model published in Griffin et al. (2010) PLoS Med; Griffin et al. (2014) Nat Comms; Winskill et al. (2017) 2015 2020 2020 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 50% pyrethroid bioassay mortality Example: Malaria
  • 3. New technology: PBO-nets MosquitomortalityinPBO-netsduring experimentalhuttrial(%) Mosquito mortality in non-PBO-nets during hut trial (%) Results of all published experimental hut trials investigating PBO LLINs MosquitomortalityforPBO+pyrethroid duringWHO(orCDC)bioassaytests(%) Mosquito mortality for pyrethroid during WHO (or CDC) bioassay tests (%) Churcher et al. (2016) eLife red = An. gambiae s.l. blue = An. funestus
  • 4. New technology: PBO-nets Predicted Prevalence in 2 to 10 yrs at current LLIN and IRS coverage levels (matching 2015 coverage) with pyrethroid resistance (50% of mosquitos survive bioassay) Using standard non-PBO nets Predicted Prevalence in 2 to 10 yrs at current LLIN and IRS coverage levels (matching 2015 coverage) with pyrethroid resistance (50% of mosquitos survive bioassay) Implementing PBO-nets Public health impact is location specific. Particularly depends on levels of LLIN coverage and species of mosquitos present 1 0.8 0.6 0.4 0.2 0 2020 Preliminary work 1 0.8 0.6 0.4 0.2 0 2020
  • 5. Actellic on An. funestus (dashed line) Actellic on An. gambiae (solid line) Pyrethroid Bendiocarb New technology: Long-lasting IRS Preliminary work Impact of switching to a longer-lasting IRS depends on Seasonality (increased protection with a longer transmission season) IRS coverage levels (higher coverage gives improved protection) Prevalence in 2 to 10 yrs: current LLIN coverage, 80% coverage pyrethroid IRS with 50% pyrethroid resistance (50% of mosquitos survive bioassay) 2020 1 0.8 0.6 0.4 0.2 0 2020 1 0.8 0.6 0.4 0.2 0 Prevalence in 2 to 10 yrs: current LLIN coverage, 80% coverage Actellic IRS with 50% pyrethroid resistance (50% of mosquitos survive bioassay)
  • 6. How modeling can inform approaches to maximize impact across vector borne diseases Ellie Sherrard-Smith e.sherrard-smith@imperial.ac.uk Tom Churcher Malaria Modelling Group Imperial College London

Editor's Notes

  1. point shape = permethrin (circle) deltamethrin (square) another pyrethroid (diamond) point fill = WHO tube (filled), WHO cone (open), CDC bottle (light fill)
  2. Resistance arrives 2015 – PBO nets are given – vs resistance arrives 2015 and ou keep standard nets
  3. Add another map simply of current coverage of IRS to explain these patterns